Job Details
Location: Bangalore, Karnataka, India
Salary: Not specified
Company: ApnaWorker
We are looking for an experienced senior Azure data engineer with strong expertise in the Azure data platform and Azure Databricks to join our growing data engineering team. If you're passionate about building scalable cloud-based data solutions and can join immediately, we'd love to hear from you! Location: Bangalore (Whitefield). Work Mode: Work From Office (WFO). Experience: 6+ Years. Notice Period: Immediate Joiners (Project starts in July). Key Responsibilities: Design, develop, and maintain scalable data pipelines on Azure. Build high-performance ETL/ELT solutions using Azure Databricks. Develop and optimize large-scale data processing using PySpark and Apache Spark. Integrate data from multiple sources into Azure Data Lake, Azure SQL, and Azure Blob Storage. Ensure data quality, performance, scalability, and reliability. Collaborate with architects, analysts, and business stakeholders to deliver enterprise data solutions. Troubleshoot and optimize production data pipelines. Mandatory Skills: 6+ years of experience in Azure Data Engineering. Strong hands-on expertise in: Azure Databricks, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), PySpark / Apache Spark, Python, SQL, ETL/ELT Development. Experience with: Azure SQL Database, Azure Blob Storage, Data Integration & Transformation, Data Modeling, Performance Optimization. Preferred Skills: Experience with Azure Synapse Analytics, Knowledge of Delta Lake, Exposure to Azure DevOps and CI/CD pipelines, Experience working in enterprise-scale Azure environments, Strong analytical, problem-solving, and communication skills. Mandatory Requirements: Immediate Joiners Preferred. Notice Period should not exceed 2 weeks. Hands-on Azure experience is mandatory. Strong expertise in Azure Databricks is mandatory. Excellent communication skills are essential.